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--- lectures [2013/10/21 16:44] – nick
+++ lectures [2013/11/26 14:43] (current) – nick
@@ Line 31: / Line 31: @@
   * {{:cse4403lec10.pdf|Lecture 10 - Evolutionary & Genetic Programming}}
   * {{:cse4403lec11.pdf|Lecture 11 - Probabilistic Reasoning: Why}}
-  * {{:lecture_20.ppt|actually Lecture 13 - Lecture 20 & 21- Ontology and Representation}}
+  * {{:cse4403lec12.pdf|Lecture 12 - Bayesian Networks}}
-  * {{:hmm_nicky.pdf|Lecture 14 - Hidden Markov Models}}
+  * {{:cse4403lec13.pdf|Lecture 13 - Discussion on Bayesian Networks}}
-  * {{:cse4403lec12.pdf|Lecture 15 - Bayesian Networks}}
+  * {{:lecture_12.pdf|Lecture 14 - Ontology and Representation}}
-  * {{:cse4403lec13.pdf|Lecture 15+ - Discussion on Bayesian Networks}}
+  * {{:lecture_16.pdf|Lecture 15 - Web Intelligence, Brain Informatics and Granular Computing}}
-  * {{:lecture_15.ppt||Lecture 16 - Web Intelligence, Brain Informatics and Granular Computing}}
+     * {{:wimbit.pdf|Lecture 15a - Web Intelligence meet Brain Informatics}}
-     * {{:wimbit.ppt|Lecture 16a - Web Intelligence meet Brain Informatics}}
+  * {{:lecture_17new.pdf|Lecture 16 - Granular Computing}}
-  * {{:lecture_16.ppt|Lecture 17 - Granular Computing}}
+     * {{:att00207.pdf|Lecture 16a - Zadeh's Granular Computing}}
-     * {{:att00207.ppt|Lecture 17a - Zadeh's Granular Computing}}
+     * {{:conceptual_granularity_fuzzy_and_rough_sets.pdf|Lecture 16b - Erich's Granular Computing}}
-     * {{:conceptual_granularity_fuzzy_and_rough_sets.ppt|Lecture 17b - Erich's Granular Computing}}
+     * {{:granular_computing.pdf|Lecture 16c - Skrowon's Granular Computing}}
-     * {{:granular_computing.pdf|Lecture 17c - Skrowon's Granular Computing}}
+  * {{:hmm_nicky.pdf|Lecture 17 - Hidden Markov Models}}
-  * {{:lecture_17.ppt|Lecture 18 - Introduction to Expert Systems}}
+  * {{:lecture_18.pdf|Lecture 18 - Introduction to Expert Systems}}
-  * {{:bayesian_network_modeling_for_evolutionary_genetic_structures.ppt|Lecture 19 - Bayesian Network Modeling for evolutionary genetic structures}}
+  * {{:bayesian_network_modeling.pdf|Lecture 19 - Bayesian Network Modeling for evolutionary genetic structures}}
-  * {{:cercone.ppt|Lecture 20 - A graph theory approach to characterize the relationshipbetween protein functions and structure of biological networks}}
+  * {{:cerconenew.pdf|Lecture 20 - A graph theory approach to characterize the relationshipbetween protein functions and structure of biological networks}}
+  * {{:sc20130nov26short.pdf|Lecture 20a - Graph theory and biological networks}}
   * {{:lecture_22.ppt|Lecture 21 - Course Review}}